Update '*var' according to the adagrad scheme.
accum += grad * grad var -= lr * grad * (1 / sqrt(accum))
Nested Classes
class | ApplyAdagradV2.Options |
Optional attributes for
ApplyAdagradV2
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Public Methods
Output <T> |
asOutput
()
Returns the symbolic handle of a tensor.
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static <T> ApplyAdagradV2 <T> | |
Output <T> |
out
()
Same as "var".
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static ApplyAdagradV2.Options |
updateSlots
(Boolean updateSlots)
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static ApplyAdagradV2.Options |
useLocking
(Boolean useLocking)
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Inherited Methods
Public Methods
public Output <T> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static ApplyAdagradV2 <T> create ( Scope scope, Operand <T> var, Operand <T> accum, Operand <T> lr, Operand <T> epsilon, Operand <T> grad, Options... options)
Factory method to create a class wrapping a new ApplyAdagradV2 operation.
Parameters
scope | current scope |
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var | Should be from a Variable(). |
accum | Should be from a Variable(). |
lr | Scaling factor. Must be a scalar. |
epsilon | Constant factor. Must be a scalar. |
grad | The gradient. |
options | carries optional attributes values |
Returns
- a new instance of ApplyAdagradV2
public static ApplyAdagradV2.Options useLocking (Boolean useLocking)
Parameters
useLocking | If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |
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